Automatic Construction of a Depression-Domain Lexicon Based on Microblogs: Text Mining Study.
Genghao LiBing LiLanglin HuangSibing HouPublished in: JMIR medical informatics (2020)
Our depression-domain lexicon was proven to be a meaningful input for classification algorithms, providing linguistic insights on the depressive status of test subjects. We believe that this lexicon will enhance early depression detection in people on social media. Future work will need to be carried out on a larger corpus and with more complex methods.